ArticleScientific reports2018
Comparing the similarity and difference of three influenza surveillance systems in China.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Epidemiological and virological characteristics of influenza in Zhejiang Province, China: A 15-year surveillance study.Human vaccines & immunotherapeutics · 2026Article
- Multi-source machine learning for short-term influenza forecasting in Hunan Province, China: a spatiotemporal analysis using surveillance, search, meteorological and air-quality data.BMC infectious diseases · 2026Article
- Utility of sentinel surveillance as an early warning system for emerging pathogens in a low-resource setting: Correlations of dengue, chikungunya, Zika, and COVID-19 trends between sentinel and passive surveillance systems in Puerto Rico, 2012-2023.PLOS global public health · 2026Article
- Suppression and resurgence: the evolving epidemiology of seasonal influenza from 2015 to 2024 in a core urban district of Beijing, China.Frontiers in public health · 2026Article
- Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.Frontiers in artificial intelligence · 2025Review
- Integrated health surveillance and early warning systems in China under the One Health perspective: progress and challenges.Science in One Health · 2025Review
- Spatiotemporal patterns of influenza incidence changes in mainland China, 2004-2020.Frontiers in public health · 2025Article
- Comparison of Three Influenza Surveillance Data Sources for Timely Detection of Epidemic Onset - Chengdu City, Sichuan Province and Beijing Municipality, China, 2017-2023.China CDC weekly · 2024Article
- Forecasting and analyzing influenza activity in Hebei Province, China, using a CNN-LSTM hybrid model.BMC public health · 2024Article
- Epidemiological features of seasonal influenza transmission among 11 climate zones in Chinese Mainland.Infectious diseases of poverty · 2024Article
- The potential of resilience indicators to anticipate infectious disease outbreaks, a systematic review and guide.PLOS global public health · 2023Article
- Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study).International journal of environmental research and public health · 2022Article
- Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau.Heliyon · 2022Article
- Cluster detection with random neighbourhood covering: Application to invasive Group A Streptococcal disease.PLoS computational biology · 2022Article
- Distinct influenza surveillance networks and their agreement in recording regional influenza circulation: Experience from Southeast Michigan.Influenza and other respiratory viruses · 2022Article
- Concordance between the Clinical Diagnosis of Influenza in Primary Care and Epidemiological Surveillance Systems (PREVIGrip Study).International journal of environmental research and public health · 2022Article
- Influenza A and B outbreaks differed in their associations with climate conditions in Shenzhen, China.International journal of biometeorology · 2022Article
- Enhancing Influenza Epidemics Forecasting Accuracy in China with Both Official and Unofficial Online News Articles, 2019-2020.International journal of environmental research and public health · 2021Article
- Prevention and control measures significantly curbed the SARS-CoV-2 and influenza epidemics in China.Journal of virus eradication · 2021Article
- The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China.The Science of the total environment · 2020Article
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Authors and funding
10 authors.
Funding
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Abstract
Three main surveillance systems (laboratory-confirmed, influenza-like illness (ILI) and nationwide Notifiable Infectious Diseases Reporting Information System (NIDRIS)) have been used for influenza surveillance in China. However, it is unclear which surveillance system is more reliable in developing influenza early warning system based on surveillance data. This study aims to evaluate the similarity and difference of the three surveillance systems and provide practical knowledge for improving the effectiveness of influenza surveillance. Weekly influenza data for the three systems were obtained from March 2010 to February 2015. Spearman correlation and time series seasonal decomposition were used to assess the relationship between the three surveillance systems and to explore seasonal patterns and characteristics of influenza epidemics in Gansu, China. Our results showed influenza epidemics appeared a single-peak around January in all three surveillance systems. Time series seasonal decomposition analysis demonstrated a similar seasonal pattern in the three systems, while long-term trends were observed to be different. Our research suggested that a combination of the NIDRIS together with ILI and laboratory-confirmed surveillance is an informative, comprehensive way to monitor influenza transmission in Gansu, China. These results will provide a useful information for developing influenza early warning systems based on influenza surveillance data.
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